Jeel Daswani

Software Engineer

Bengaluru, Karnataka, India3 yrs 3 mos experience

Key Highlights

Reduced monitoring costs by 50% at CoinDCX.
Achieved 50% faster deployment times through CI/CD transformation.
Contributed to open source observability tooling.

Stackforce AI infers this person is a DevOps Engineer with expertise in cloud infrastructure and CI/CD automation.

Contact

Skills

Core Skills

DevopsCloud ComputingContinuous Integration And Continuous Delivery (ci/cd)

Other Skills

DockerJenkinsGitOpsEKSKubernetesArgoCDCI/CDDatadogCollaborationCommunicationSaaS / CryptoDocker ProductsAtlantisRedisMongoDB

About

I'm Platform / DevOps Engineer focused on building scalable, cost-efficient, and high-performance cloud systems. At CoinDCX, I designed and built a vendor-neutral observability platform (logs, metrics, tracing) using VictoriaMetrics, VictoriaLogs, Loki, Tempo, and OpenTelemetry - replacing Datadog and enabling large-scale telemetry optimization. • Reduced monitoring costs by 50% by optimizing telemetry pipelines and cutting Datadog agent usage from 2200 → 1000 • Improved Grafana query performance by 10× (minutes → seconds) by building a custom backend layer and optimizing data flow • Designed a distributed observability architecture with cluster-local ingestion and centralized querying for better scalability and isolation Previously at AiDash, I focused on CI/CD transformation, Kubernetes automation, and cloud cost optimization: • Reduced deployment time by 50% and saved 20+ engineering hours per week by migrating to containerized CI/CD pipelines using GitOps (ArgoCD) • Optimized AWS infrastructure to reduce costs by ~20% while improving reliability and scalability • Built Kubernetes automation (custom scheduler + operator) to improve resource utilization and deployment consistency I enjoy solving problems around scale, reliability, and cost - especially where strong platform design and automation can eliminate operational bottlenecks. Open Source: Contributed upstream to Fluent Bit Operator and VictoriaLogs Grafana Data Source, improving production-grade observability tooling.

Experience

3 yrs 3 mos

Total Experience

2 yrs

Average Tenure

1 yr 2 mos

Current Experience

Coindcx

Software Engineer

Mar 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Aidash

2 roles

Software Engineer DevOps

Feb 2023 – Mar 2025 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Jenkins Modernization and Optimization: Led and successfully completed the migration of the Jenkins ecosystem from EC2 to EKS, utilizing GitOps principles to automate and streamline upgrades and rollbacks. Designed and implemented a high-availability architecture, ensuring enhanced reliability and near-zero downtime.
Kubernetes Automation Expertise: Designed and developed a Kubernetes Operator using KOPF to automate complex cluster management tasks, significantly enhancing deployment efficiency through seamless integration with ArgoCD.
Deployment Efficiency Enhancements: Transitioned Kubernetes deployment tools from Kustomize to Helm, strengthening version control, improving deployment consistency, and simplifying templating.
Observability and Cost Optimization: Led the migration of the organizational monitoring and alerting system from Datadog to Groundcover, boosting observability capabilities while reducing monitoring costs.
AWS Cost Optimization: Strategically implemented cost-reduction measures, achieving a 20% decrease in AWS infrastructure expenses without compromising performance.
Incident Management and Reliability: Ensured operational excellence by managing incident responses, participating in on-call rotations, and driving initiatives to minimize downtime and enhance service reliability.
CI/CD Pipeline Transformation: Designed and deployed robust CI/CD pipelines, automating workflows by introducing a self-serving job initiative that empowered teams, resulting in time savings of over 20 hours weekly and reducing deployment times by 50%.
Infrastructure Automation: Automated provisioning with Terraform and migrated workloads to AWS EKS with ArgoCD, improving deployment speed by 40% and reducing errors.
Repository and Workflow Optimization: Migrated organizational repositories and workflows from GitHub to Bitbucket, reducing costs by 40% and enhancing CI/CD integration and operational efficiency.

DockerDevOpsCloud Computing

DevOps Intern

Aug 2022 – Jan 2023 · 5 mos · Bengaluru, Karnataka, India

Learned Terraform: Gained hands-on experience with Terraform for automating infrastructure provisioning and management.
Assisted in Infrastructure Migration: Contributed to migrating infrastructure to Amazon EKS while integrating ArgoCD for seamless application deployment.
Supported CI/CD Implementation: Played a role in enhancing and implementing CI/CD pipelines to streamline development workflows.
Monitored AWS Cost Optimization: Observed and analyzed strategies for optimizing AWS costs, ensuring efficient resource utilization.
Shadowed Incident Response and On-Call Rotations: Learned best practices in incident management and participated in on-call operations.
Assisted in Datadog Implementation: Contributed to setting up Datadog for comprehensive observability and monitoring.
Engineered a Custom Kubernetes Scheduler: Boosted node utilization and optimized workload efficiency to enhance scalability and achieve significant cost savings.

DatadogCollaborationCommunication